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Apps and Services with .NET 8

You're reading from   Apps and Services with .NET 8 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637133
Length 798 pages
Edition 2nd Edition
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (19) Chapters Close

Preface 1. Introducing Apps and Services with .NET 2. Managing Relational Data Using SQL Server FREE CHAPTER 3. Building Entity Models for SQL Server Using EF Core 4. Managing NoSQL Data Using Azure Cosmos DB 5. Multitasking and Concurrency 6. Using Popular Third-Party Libraries 7. Handling Dates, Times, and Internationalization 8. Building and Securing Web Services Using Minimal APIs 9. Caching, Queuing, and Resilient Background Services 10. Building Serverless Nanoservices Using Azure Functions 11. Broadcasting Real-Time Communication Using SignalR 12. Combining Data Sources Using GraphQL 13. Building Efficient Microservices Using gRPC 14. Building Web User Interfaces Using ASP.NET Core 15. Building Web Components Using Blazor 16. Building Mobile and Desktop Apps Using .NET MAUI 17. Epilogue 18. Index

Preventing denial of service attacks using rate limiting

A denial of service (DoS) attack is a malicious attempt to disrupt a web service by overwhelming it with requests. If the requests all came from the same place, for example, the same IP address, then it would be relatively easy to cut them off as soon as the attack is detected. But these attacks are often implemented as distributed DoS (DDoS) attacks from many locations so you cannot separate attackers from genuine clients.

A different approach is to apply rate limiting to everyone but let through more requests for genuine identified clients.

Genuine clients should only make the minimum requests they need. How many is reasonable will depend on your service. One way to prevent DDoS attacks would be to limit how many requests are allowed from any client per minute.

This technique is not just useful to prevent attacks. Even genuine clients might accidentally make too many requests, or for a commercial web service,...

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